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Quality assessment of Psoralea fructus by HPLC fingerprint coupled with multi-components analysis

Quality assessment of Psoralea fructus by HPLC fingerprint coupled with multi-components analysis

Psoralea Fructus, the dried and ripe fruit of Psoralea corylifolia L., have been used as traditional medicine. There is substantial evidence that multiple constituents are responsible for the beneficial effects of this medicine. To effectively control the quality of this herbal medicine, HPLC fingerprint analysis was performed on a SinoChrom ODS-BP column with mobile phase of a gradient prepared from H 2 O and CH 3 CN, which the conditions used for gradient elution were: 0–10 min, 5–45% CH 3 CN; 10–45 min, 45–70% CH 3 CN; 45–50 min, 70–100% CH 3 CN; 50–60 min, 100–100% CH 3 CN, and the flow rate was 1.0 ml/min. It was obtained on the basis of the chromatographic data from 28 batches of samples, which contained 26 common peaks and 13 peaks were identified by the electrospray ionization-mass spectrometry as psoralen, isopsoralen, isobavachin, neobavaisoflavone, bavachin, corylin, broussochalcone B, psoralidin, isobavachalcone, bavachinin, corylifol A, bavachalcone and backuchiol. The contents of these 13 compounds were also simultaneously examined. By using principal component analysis, 28 batches of samples collected from 6 producing locations with different collecting time were evaluated and differentiated. In summary, the data as described in this study offer valuable information for quality control and proper use of Psoralea Fructus.

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HPLC fingerprint spectrum analysis of Rehmannia gtutinosa

HPLC fingerprint spectrum analysis of Rehmannia gtutinosa

After comparison, it was found that the group feature of major peaks in fingerprint spectrums for all 8 samples were basically identical: 17 shared peaks had correlated relative maintaining durations while the peaks-not-in-common represented a relatively smaller proportion in the spectrum. Similarity degrees of 9 Rehmannia agricultural species were all greater than 0.9, which represented the relative stability of the internal quality of Rehmannia in Daodi, Henan. Therefore, the HPLC fingerprint spectrum made in this research could be used as the common spectrum for different agricultural Rehmannia species. Meanwhile, we proved the scientific value of the “One test, multiple evaluation” method provided by Zhimin Wang et al. [16], who provided scientific reference for identification of the two representing components defined in the 2010 pharmacopoeia: catalpol and acteoside.

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Combination of HPLC Fingerprint and QAMS as a New Analytical Approach for Determination of Bufadienolides in Bufonis Venenum

Combination of HPLC Fingerprint and QAMS as a New Analytical Approach for Determination of Bufadienolides in Bufonis Venenum

HPLC ESM method, the QAMS is a sensitive, simple, and reliable method for multi-component quality control. Moreover, the QAMS method is advantageous in reducing cost and overcoming issues regarding availability of reference substances. When HPLC fingerprint data was combined with similarity analysis, HCA, PCA and QAMS method, the quality of Bufonis Venenum could be comprehensively evaluated and more reliably identified. Not only we could distinguish the geographical regions and authentic production areas, but also the origins of Bufonis Venenum could be identified. Most importantly, we could distinguish the true from the false through the combination of these methods. Hence, these evaluation methods are promising to be widely applied in the quality control of TCMs.

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Studies on HPLC fingerprint of total glycosides of Bazhen decoction and quantitative analysis of three components

Studies on HPLC fingerprint of total glycosides of Bazhen decoction and quantitative analysis of three components

Concentrated extracts of Bazhentang were dispensed into suspension containing 0.25 g/mL crude drug, and adjusting pH value with hydrochloric acid to 6.0. 10 mL of the extractive of Bazhentang was added on a column of macroporous resin (D101, dry weight 2.0g). Total glycosides was enriched in the 40BV of 80% ethanol elution(in the speed of 3BV/min). The eluate was concentrated under reduced pressure, drying, and the content of total glycosides was 0.2253g. The residue was resolved with methanol to make exactly 10 mL, then were filtered through a 0.22µm filter before HPLC analysis.

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TLC AND HPLC FINGERPRINT DEVELOPMENT OF TRACHYSPERMUM AMMI LINN. AND ITS POLYHERBAL MARKETED FORMULATIONS, “AJMODADI CHURNA”

TLC AND HPLC FINGERPRINT DEVELOPMENT OF TRACHYSPERMUM AMMI LINN. AND ITS POLYHERBAL MARKETED FORMULATIONS, “AJMODADI CHURNA”

Herbal drugs have been in use by different civilizations in different parts of the world for Centuries to fight a large number of diseases. India can emerge as the major country and play the lead role in production of standardized, therapeutically effective ayurvedic formulations [1]. Herbal formulations show the number of problems when quality aspect is considered. This is because of nature of the herbal ingredients and different secondary metabolites present therein. Mainly, variation in the chemical profile of the herbal due to intrinsic and extrinsic factors (growing, harvesting, storage and drying processes) [2-4]. Chromatographic fingerprint have been suggested to check for authenticity or provide quality control of herbal medicine [5]. Chromatography has the advantage of separating a complicated system into relatively simple sub- systems and then presenting the chemical patterns of herbal medicine in the form of a chromatogram. The World Health Organization (WHO) accepts fingerprint chromatography as an identification and quality evaluation technique for medicinal herbs since 1991 [6]. Fingerprints can be a unique

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Development of a novel method combining multi wavelength HPLC fingerprint and quantitative analysis of multi component by single marker for quality control of Houttuynia cordata

Development of a novel method combining multi wavelength HPLC fingerprint and quantitative analysis of multi component by single marker for quality control of Houttuynia cordata

Herein, we propose a method combining quantitative analysis of multi-components by single marker (QAMS) for quality control of H. cordata and multi-wavelength HPLC fingerprint. Among QAMS, one component was determined with external standard method, while the amounts of the other components are calculated by their UV relative correction factors (RCFs) at specific wavelength [12-14]. Compared with conventional analytical approaches, Chromatographic fingerprint can give an overall view of all components in TCM and demonstrates both the ‘sameness’ and ‘differences’ among various samples successfully. However, one drawback is that it can only show results of similarity calculated based on the relative value using pre-selected marker compound as a reference standard, and minor differences between very similar chromatograms might not be distinguishable [15-17]. Thus, the chemical pattern recognition methods such as QAMS should be taken into consideration for reasonable definition of the class of H. cordata [18].

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A strategy for quality control of Menispermum dauricum DC based on cytotoxic activity and hplc fingerprint analysis

A strategy for quality control of Menispermum dauricum DC based on cytotoxic activity and hplc fingerprint analysis

The rhizome of Menispermum dauricum DC known as a traditional Chinese medicine, with high content of alkaloids, has been found to possess antitumor activity. In this research, an attempt to correlate fingerprinting with bioactivity was made for quality control of M. dauricum. Firstly, the cytotoxicity of extracts from ten batches of samples against human breast MCF-7 cancer cells was estimated by [3-(4, 5-dimethylthiazole-2-yl)-2, 5-diphenyltetrazoliumbromide] assay. Then, cytotoxic activity-integrated fingerprints were established by high performance liquid chromatography. Eight peaks were selected as the common peaks to evaluate the similarities of samples and hierarchical clustering analysis was used to identify and classify different samples into groups. Assays for determinations of total alkaloids and dauricine contents enabled cytotoxicity coefficient of each extract. The potential usefulness of employing cytotoxicity coefficient was investigated by a combination of Pearson correlation coefficients and multiple linear regression analysis as being the reliable parameter to evaluate the herbal extracts. The results indicated that the level of dauricine (peak 8 in the fingerprint) correlated closely with cytotoxicity and played a significant role in the cytotoxicity of Bei Dou-Gen and could be related to its antitumor properties. It is proposed that the cytotoxicity coefficient value with a cytotoxic activity-integrated fingerprint of key biomarkers (dauricine) may be useful indicators to adopt for the quality control of M. dauricum. The analysis of cytotoxic-activity-integrated fingerprint could correlate fingerprinting with bioactivities and would provide a reasonable strategy for quality control of complex mixture of herbal medicines.

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Development and Distinction of Rhizoma rodgersiae with HPLC DAD Fingerprint Analysis Combined with Chemical Pattern Recognition Techniques

Development and Distinction of Rhizoma rodgersiae with HPLC DAD Fingerprint Analysis Combined with Chemical Pattern Recognition Techniques

In the present study, we used HPLC-DAD fingerprint combined with PCA and HCA to classify RR samples of different regions and seasons. The result demon- strated that the overall chemical profiles of all samples were consistent; however the contents of chemical components were varied among different origins. The reference fingerprint was used as the representative HPLC fingerprint to assess its chemical consistency from batch to batch. This is the first report for the batch to batch consistency assessment of RR and there are no data for quality analysis of RR with which to make a comparison. Using fingerprint technique combined with pattern recognition methods (HCA and PCA), the samples were success- fully differentiated according to discrepant harvest times, indicating that season- al variation may have some important influence on the chemical quality of the medicinal herbal. The established HPLC fingerprinting coupled with HCA and PCA analysis may provide some important reference for the development and improvement of the quality control of RR samples.

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Biometric Voting Machine

Biometric Voting Machine

computer system designed to perform a dedicated function. Unlike a general-purpose computer, such as a personal computer, an embedded system performs one or few pre- defined tasks, usually with very specific requirements. Since the system is dedicated to specific tasks, design engineers can optimize it, reducing the size and cost of the product. In India, voting procedure strictly adheres to the principle of Electronic Voting Machines (EVM’S) known as offline E-Voting. EVM’S have the flexible characteristics like simple design, ease of use, reliability and fast accessing. Unfortunately, these EVM’S are criticized for the irregularity reports in elections. So, these criticisms lead to damaging the main objective of the voters and Election commission also faces arduous task to conduct free and fair elections. The main aim of this proposed system is to develop a counterfeit free voting system by a valid recognition i.e. biometric scanning. The biometric scanning can be done with Fingerprint scanner and Iris Recognition. Since both fingerprint and iris of a person are unique to each and every person. So, the person who is recognized with either one of the scanners can be allowed for voting .

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DESIGN AND IMPLEMENTATION OF FINGERPRINT AUTHENTICATION USING 8051 MICROCONTROLLER

DESIGN AND IMPLEMENTATION OF FINGERPRINT AUTHENTICATION USING 8051 MICROCONTROLLER

Fingerprint recognition or fingerprint authentication refers to the automated method of verifying a match between two human fingerprints. Fingerprints are one of many forms of biometrics used to identify individuals and verify their identity. This article touches on two major classes of algorithms (minutia and pattern) and four sensor designs (optical, ultrasonic, passive capacitance, and active capacitance).

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Rectification of The Distorted Fingerprint

Rectification of The Distorted Fingerprint

The distortion detection can be viewed as a two- class classification problem, the orientation map and period map of a fingerprint. These two maps are used as feature vector and for classification. The KNN (K- Nearest Neighbour) classifier is trained to perform the field estimation task. The Distortion rectification has a regression problem, where the distorted fingerprints are viewed as inputs and distortion field are viewed as outputs.

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Overlapped Fingerprint Separation for Fingerprint Authentication

Overlapped Fingerprint Separation for Fingerprint Authentication

The procedure displayed in past area was approved on standard database. The database contains add up to 536 pictures while made database contain 100 pictures which are ordered into five classes like curve, right circle, left circle, whorl and twin circle effectively. The order result given by the framework with least of dismissal proportion is exceptionally exact. Clearly displayed technique has enormously enhanced fingerprint image classification accuracy. Simulation results verified that the proposed calculation is precise and powerful.

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Design and Implementation of a Fingerprint Lock System

Design and Implementation of a Fingerprint Lock System

The testing was done on each and every components/sections that make up the circuit to ensure proper and satisfactory operation of the fingerprint lock. The debugging was done using the Arduino 1.6.3; Each and every section of the code was debugged properly to ensure proper functionality thus a step debugging was done. This is a facility in the software that enables you step into program and at the same time views the registers and flag settings.

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SIMULTANEOUS DETERMINATION OF ESOMEPRAZOLE MAGENISUM TRIHYDRATE AND NAPROXEN BY COMBINED HPLC-CHEMOMETRIC TECHNIQUES AND RP- HPLC METHOD

SIMULTANEOUS DETERMINATION OF ESOMEPRAZOLE MAGENISUM TRIHYDRATE AND NAPROXEN BY COMBINED HPLC-CHEMOMETRIC TECHNIQUES AND RP- HPLC METHOD

Analysis of synthetic mixture: The proposed CLS, PCR and PLS methods were applied to the simultaneous determination of esomeprazole magenisum trihydrate (ESO) and naproxen (NAP) in synthetic mixture. Three replicates were determined. Satisfactory results were obtained for each compound in good agreement with label claim (Table 7). Classic HPLC Method: In the classic HPLC technique, the ratio of peak area of analyte to IS was plotted against the concentration for each drug. At wavelengths of 293, 295, 297, 299 and 301nm. Five linear regression equations for each drug were obtained from the HPLC data given in Table 4. All linear regression equations and their statistical parameters are presented in Table 8. The correlation coefficients of regression equations were found to be higher than 0.999. At a specific wavelength of 299 nm, a linear equation giving successful results for each drug was selected from Table 8. At the subject wavelength point, the calibration equations gave us good linearity for esomeprazole magenisum trihydrate (ESO) and naproxen (NAP). The developed classical HPLC system was applied to the simultaneous determination of esomeprazole magenisum trihydrate (ESO) and naproxen (NAP) in their binary mixtures (Table 9).

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Biometric Voting Machine

Biometric Voting Machine

computer system designed to perform a dedicated function. Unlike a general-purpose computer, such as a personal computer, an embedded system performs one or few pre- defined tasks, usually with very specific requirements. Since the system is dedicated to specific tasks, design engineers can optimize it, reducing the size and cost of the product. In India, voting procedure strictly adheres to the principle of Electronic Voting Machines (EVM’S) known as offline E-Voting. EVM’S have the flexible characteristics like simple design, ease of use, reliability and fast accessing. Unfortunately, these EVM’S are criticized for the irregularity reports in elections. So, these criticisms lead to damaging the main objective of the voters and Election commission also faces arduous task to conduct free and fair elections. The main aim of this proposed system is to develop a counterfeit free voting system by a valid recognition i.e. biometric scanning. The biometric scanning can be done with Fingerprint scanner and Iris Recognition. Since both fingerprint and iris of a person are unique to each and every person. So, the person who is recognized with either one of the scanners can be allowed for voting .

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Classification of gender by using fingerprint ridge density in northern 
		part of Malaysia

Classification of gender by using fingerprint ridge density in northern part of Malaysia

This paper describes on how we can use the fingerprint ridge density to classify the gender in people living in northern part of Malaysia. Ridge density is the number of digital ridges per unit area and it is claimed varies according to sex, age, and population origin. The main objective of this study is to test the truth of the relationship between the fingerprint ridge densities and the gender of a person born and lives in Malaysia as until now, no work on such study has been reported among the population. The sample of this study consists of 50 participants coming from the age group of 18- 60 year old and consists of 25 males and 25 females. All the respondents had been properly explained about the objectives of the intended study and the consent had been taken before their fingerprints collected. The fingerprint images that taken manually will be going through the image pre-processing phase using a MATLAB software before the ridge of the fingerprint from two topological areas, radial and ulnar can be counted and the mean can be calculated. The results show that fingerprint ridges of less than 12 ridges/25mm² is more likely belong to a male respondent while fingerprint ridges of more than 14 ridges/25mm² is more likely to be from a female respondent. From the result, we can conclude that in Malaysia too, woman tends to have a greater ridges density compared to man. It shows similar trends in sex difference as the other studies of the past conducted on other races in other countries and we can conclude that the trend is universal among all races in the world . From this conclusion, we know that the ridges density is highly trusted to be one of the best criteria for feature extraction in gender classification and this will inspire further research of other classification of feature extraction in gender determination by using a fingerprint.

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Efficient Altered Fingerprint Analysis and Rectification of Distorted Fingerprint

Efficient Altered Fingerprint Analysis and Rectification of Distorted Fingerprint

The NIST [4] has conducted the evaluation and observed that there are many differences between matching the fingerprints accurately. Plain, Rolled, and Latent fingerprint matching technologies has many problems while recognizing the images. Basically there are two types of recognition systems i.e. positive recognition system and negative recognition system. In positive recognition system, physical access control system and user should cooperate and identify .In Negative recognition system; the fingerprint was not made by the person indicated. In positive recognition system, if the quality of image is not up to the mark then it seems to be fail for legitimate users also which in turn results into inconvenience. Low quality fingerprint

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Performance Analysis on Fingerprint Image Compression Using K SVD SR and SPIHT

Performance Analysis on Fingerprint Image Compression Using K SVD SR and SPIHT

This research work presents the comparison between K- Singular Value Decomposition-Sparse Representation (K-SVD-SR) and Set Partitioning In Hierarchical Trees (SPIHT) in Fingerprint Compression. Various fingerprint images in terms of size, quality and computational time are compressed using SPIHT and K-SVD-SR. The qualities of the fingerprint images are evaluated by the PSNR (Peak Signal To Noise Ratio), MSE (Mean Square Error) and CR (Compression Ratio).

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Data Compression of Fingerprint Minutiae

Data Compression of Fingerprint Minutiae

In most commercially available system, it is the hardware element that renders the systems highly expensive [8]. In cost-effective fingerprint identification we use fewer qualitative sensors. So, to remove this type of error we can eliminate the fourth attribute i.e. type of minutiae. In this way, we can use poor quality hardware and sensor as well as save the memory space.

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A Fingerprint Positioning Algorithm Based on Multilevel Manual Definition

A Fingerprint Positioning Algorithm Based on Multilevel Manual Definition

fingerprints contain the mode features of the neighboring classes at the same time. As a result, it is improper to sort them into one class. The location fingerprint generated in the real-time positioning phase may not be matched to its most similar location fingerprint which may influence the final location estimation results. Thus, this algorithm refers to soft division method to eliminate fuzzy boundary. In the real-time matching phase, classes with the first and the second smallest distance are taken as matching class.

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